Type 1 Diabetes Mellitus With Artificial Pancreas Device Clinical Trial
Official title:
Deep Learning in Vascular and Structural Retinal Changes in Diabetic Patients Undergoing Artificial Pancreas Device
This study evaluates the ability of deep learning to improve the knowledge about structural and vascular retinal changes in diabetic patients undergoing artificial pancreas device, using optical coherence tomography angiography.
hybrid artificial pancreas systems (CSII) are able to adjust the type 1 diabetic patient's glycemic levels with insulin doses appropriate to the patient's blood glucose. The optical coherence tomography angiography represents a novel and noninvasive diagnostic technique that allows a detailed and quantitative analysis of retinal and choriocapillary vascular features. The study evaluates the changes in optical coherence tomography angiography features in diabetic patients undergoing artificial pancreas device, elaborating these data with artificial intelligence. ;